Email Marketing Executive

Job Description: We are seeking a skilled Scrum Master to facilitate our agile processes for IoT/Telematics projects. The candidate should have a deep understanding of Scrum principles and practices, with experience in coaching teams to achieve their highest potential. Excellent communication and problem-solving skills are crucial for this role.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

As an IT Technical Lead, you will play a crucial role in managing and leading a team of IT professionals. You will be responsible for providing technical guidance, overseeing project execution, and ensuring the successful delivery of IT solutions. Your expertise will be instrumental in driving innovation, implementing best practices, and maintaining a high level of technical excellence within the organization.

Key Responsibilities:

Team Leadership: Lead a team of IT professionals, including developers, engineers, and support staff. Provide guidance, mentorship, and technical expertise to ensure team members' growth and success. Foster a collaborative and positive work environment.

Technical Strategy and Planning: Develop and implement a strategic technical roadmap aligned with the organization's goals and objectives. Stay up to date with emerging technologies and trends, and assess their applicability to the organization's IT infrastructure. Make recommendations for technology adoption or enhancements.

Project Management: Oversee the execution of IT projects, including resource allocation, task assignments, and timelines. Collaborate with stakeholders to gather requirements, define project scope, and ensure successful project delivery. Monitor project progress, identify and mitigate risks, and resolve issues as they arise.

Technical Expertise: Serve as a subject matter expert in various IT domains, such as software development, infrastructure management, cybersecurity, and data management. Stay informed about industry best practices and provide guidance on technical standards, frameworks, and methodologies. Conduct research and evaluation of new technologies to support business objectives.

Collaboration and Communication: Collaborate with cross-functional teams, including business stakeholders, product managers, and other IT teams. Effectively communicate technical concepts and solutions to both technical and non-technical stakeholders. Foster strong relationships with external vendors and partners.

Troubleshooting and Issue Resolution: Assist in troubleshooting complex technical issues and provide guidance to team members in resolving them. Identify root causes, implement corrective actions, and develop preventive measures to avoid similar issues in the future. Ensure the timely resolution of critical incidents.

Continuous Improvement: Drive continuous improvement initiatives within the IT department by identifying areas for optimization, streamlining processes, and implementing automation where applicable. Promote a culture of innovation, learning, and knowledge sharing within the team.

Qualifications and Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience in a technical leadership role, managing and leading a team of IT professionals.

Strong technical background in one or more IT domains, such as software development, infrastructure management, cybersecurity, or data management.

In-depth knowledge of industry best practices, emerging technologies, and trends.

Proficiency in project management methodologies and tools.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Strong problem-solving and troubleshooting abilities.

Demonstrated ability to drive innovation, implement process improvements, and foster a culture of continuous learning.

EXPERTISE AND QUALIFICATIONS

• 14+ years of experience in Software Engineering with at least 6+ years as a Lead Enterprise Architect preferably in a software product company
• High technical credibility - ability to lead technical brainstorming, take decisions and push for the best solution to a problem
• Experience in architecting Microservices based E2E Enterprise Applications
• Experience in UI technologies such as Angular, Node.js or Fullstack technology is desirable
• Experience with NoSQL technologies (MongoDB, Neo4j etc.)
• Elastic Search, Kibana, ELK, Logstash.
• Good understanding of Kafka, Redis, ActiveMQ, RabbitMQ, Solr etc.
• Exposure in SaaS cloud-based platform.
• Experience on Docker, Kubernetes etc.
• Experience in planning, designing, developing and delivering Enterprise Software using Agile Methodology
• Key Programming Skills: Java, J2EE with cutting edge technologies
• Hands-on technical leadership with proven ability to recruit and mentor high performance talents including Architects, Technical Leads, Developers
• Excellent team building, mentoring and coaching skills are a must-have
• A proven track record of consistently setting and achieving high standards

Five Reasons Why You Should Join Zycus

1. Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React.

2. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites.

3. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization

4. Get a Global Exposure: You get to work and deal with our global customers.

5. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

About Us

Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.

Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-

to-use user interface ensures high adoption and value across the organization.

Start your #CognitiveProcurement journey with us, as you are #MeantforMore

Roles & Responsibilities

- Writing good quality code.

- Be able to design ,implement and deploy scalable backend applications on cloud(AWS/Azure).

- Be able to take ownership of projects and deliver them on time.

- Be able to lead a team and mentor junior developers.

Qualifications:

- BE/BTech degree in CS/IT or similar related field.

- 4+ years experience as backend engineer.

- Good knowledge in Python and at least one of the framework - Django, Flask, FastAPI, etc.

- Hands on experience in building microservices applications on AWS/GCP/Azure.

- Good understanding of platforms(Docker, AWS/Azure).

- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.

- Experience working in multiple databases and data modelling.

- Experience writing APIs and related technologies like REST, JSON, websockets, grpc etc.

- Should be inquisitive enough picking up any language and frameworks based on need.

- Should be able to design/implement/deploy end-to-end systems.

- Having good knowledge on deploying cloud applications and with Dockers/Kubernetes is a plus.

- Experience building end-to-end analytics systems is a plus.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

What you need to have:

Job description:

Amazon’s Worldwide Consumer Engagement organization brings customers to visit amazon websites, engage them on site and help them purchase from Amazon’s retail sites. This is achieved through highly personalized messages delivered via all available large scale communication channels—both free and paid and offering engaging experience on website. The organization builds, operates, and improves the technology systems that power all marketing channels, and manages prioritization and marketing spend decisions. Consumer Marketing consists of a series of single-threaded technology and business teams, each of which owns the entirety of a channel of communication or customer segment: natural and paid search (i.e. SEO and SEM), affiliate marketing (Associates), display advertising, email, browser integration, and mobile marketing, retail customer experience technology teams.

This position is for a technology leader in Affiliate Marketing Technology group for attribution team. This team owns business critical systems that are responsible for attributing traffic to marketing channels and thrives on innovation to provide rich analytics to its internal and external customers. As a leader on the team, you will be responsible for tier1 critical systems, guide your team through the design, development, testing, and deployment of a range of products involving big data processing and dealing with near real time SLAs. You will have to deal with challenges of high availability (five 9s) guarantee, low latency and high throughput. In addition, you will build and manage roadmaps for software teams, developing cutting edge experiences. You will have sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You are a true owner - you are deeply interested in product design, architecture, and you innovate relentlessly on behalf of our customers.

This position offers the opportunity to collaborate with our business teams across the world and other tech teams in Bangalore as we raise the bar in delivering innovation.

Primary responsibilities: 

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics 
• Work with business leaders and product managers to define product requirements. 
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments 
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner 
• Build and maintain world-class customer experience and operational excellence for your deliverables 
• Hire, manage, mentor and grow a high performance team of Software Engineers

Basic Qualifications:

• Bachelors/Masters degree in Computer Science or related field
• 10+ years professional experience in software development management
• Proficiency in, at least, one modern programming language such as Java, Scala, C#, C++ etc 
• Ability to solve complex technical problems and design robust, scalable solutions
• Ability to think critically and actively contribute to strategic choices.
• 3+ years experience in managing development teams working on multiple simultaneous projects.
• 3+ years experience in managing large scale software development teams following Agile development processes. 
• Strong skills in project planning & execution, problem solving. Ability to take a project from initial scoping requirements through actual launch and support of the project
• Proven leadership and teamwork skills
• Excellent verbal and written communication skills in both technical and non-technical discussions.

Preferred Qualifications: 

• Deep, hands-on technical expertise in high scale, service-oriented architectures
• Exposure to Elastic Map Reduce and Machine Learning programs. 
• Ability to handle multiple competing priorities in a fast-paced environment
• Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations
• Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions
• Proactively and continually improve their level of knowledge about Amazon’s business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables
• Strong business and technical vision
• Good understanding of web services